Traffic classification on the fly

Traffic classification on the fly
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DOI:
10.1145/1129582.1129589
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发表时间:
2006-04
期刊:
Comput. Commun. Rev.
影响因子:
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通讯作者:
L. Bernaille;Renata Teixeira;Ismael Akodkenou;Augustin Soule;Kave Salamatian
L. Bernaille;Renata Teixeira;Ismael Akodkenou;Augustin Soule;Kave Salamatian
中科院分区:
其他
文献类型:
--
作者:
L. Bernaille;Renata Teixeira;Ismael Akodkenou;Augustin Soule;Kave Salamatian

文献摘要

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早期检测与TCP流相关的应用程序是网络安全和流量工程的重要步骤。识别流的经典方法,即查看端口号,不再有效。另一方面,最先进的技术不能在TCP流结束之前确定应用。在这篇社论中,我们提出了一种技术,它依赖于观察TCP连接的前五个数据包来识别应用程序。这一结果为在线流量分类开辟了一系列新的可能性。
The early detection of applications associated with TCP flows is an essential step for network security and traffic engineering. The classic way to identify flows, i.e. looking at port numbers, is not effective anymore. On the other hand, state-of-the-art techniques cannot determine the application before the end of the TCP flow. In this editorial, we propose a technique that relies on the observation of the first five packets of a TCP connection to identify the application. This result opens a range of new possibilities for online traffic classification.